Build the Future of Ocean Conservation

At OnDeck we’re building a better future for the world's oceans. We do this by building world-leading AI research into world-changing products. Backed by organizations such as the Environmental Defense Fund, Ocean Wise, and industry, we stand at the forefront of AI for conservation and marine resources.

Our team of exceptionally talented engineers and industry experts thrive in fast-paced, innovative environments. We are continuously pushing the boundaries of what is possible, developing cutting-edge marine conservation tools that genuinely change the course of the world's fisheries.

We are seeking standout team players who want to make a dent in the universe. If you love tackling complex challenges, and you’re keen to scale with a startup reaching new heights, apply below.

What you'll be doing

You will have significant ownership over mission-critical development, propelling us towards our goal of being the first to market at scale. In your role as Machine Learning Engineer:

• Work at the forefront of artificial intelligence for ocean conservation, developing state-of-the-art machine learning models and advanced computer vision techniques.

• Take ownership of the entire ML lifecycle, from conducting research and developing innovative models to deploying them in production environments.

• Work on a pipeline that automatically transitions models from research to production, where it will be handling large volumes of video footage while undergoing updates smoothly.

• Your responsibilities will encompass researching, implementing, optimizing, and deploying these innovative models for various tasks, including object detection, species classification, and object tracking.

Minimum qualifications

• Bachelor’s, Master's or Ph.D. in Computer Science or a related field

• Previous work experience in applied research or ML engineering for production environments

• Proficiency in programming and implementing machine learning workflows using Python (experience with C, C++, and JavaScript/TypeScript is an asset)

• Experience in machine learning, computer vision, serving ML models, cloud/edge development, optimizing model performance, Unix/Linux environments, distributed and parallel systems, and data engineering

• Proficiency with PyTorch, TensorFlow, and other modern machine learning frameworks/tools

• Strong technical communication skills in English, both written and verbal

• Enthusiasm for building software that revolutionizes fisheries monitoring and research

Preferred qualifications

• Master's or Ph.D. in Computer Science, Statistics, Engineering, or a related field

• 2+ years of full-time, non-internship work experience, especially in high-impact roles in smaller organizations

• Proficiency with MLOps and AWS infrastructure or equivalent (e.g. EC2, SageMaker)

• Experience in setting up and using CI/CD tools (e.g., GitHub Actions, AWS CodePipeline, Google CloudBuild)

• Knowledge of containerization and orchestration for large-scale deployment (Docker, Kubernetes)

• Up-to-date knowledge of the state of the art in deep computer vision research

• Contributions to research in deep learning computer vision applications, and/or demonstrated ability to implement novel machine learning literature

• Ability to develop accessible technologies

• Willingness and aptitude to learn additional technologies and frameworks as needed

Job Types: Permanent Full-time

Salary: $80,000.00-$120,000.00 per year